Subhash Kochar

Professor of Statistics

Fariborz Maseeh Department of Mathematics and Statistics

Portland State University,  Portland  OR

Research  Interests
Reliability Theory, Survival Analysis, Mathematical Statistics, Nonparametric Inference, Inference under order restrictions,
Stochastic Orders, Applied Probabilty.

Ph. D. Students

AMS MathSciNet

TEACHING SPRING 2015

STAT - 468/568 APPLIED PROBABILITY  I - Text: Introduction to  Probability Models - 11th edition,  by Sheldon Ross

STAT 580 - NONPARAMETRIC METHODS- Text : Nonparametric Statistical Methods - 3rd edition by Hollander, Wolfe and Chicken

In nonparametric inference, minimum assumptions are made on the underlying model and the resulting inference procedures are, usually, distribution-free in nature in the sense that they do not depend on the form of the underlying distribution(s). This is contrary to the classical inference which is heavily model based (like normality). Nonparametric procedures are intuitive and simple but at the same time they are quite powerful and efficient.  They make an important kit of tools for any practicing statistician. This will be very useful course in case you intend to take Survival Analysis and other such courses in the future. Statistical softwares R will be used.

TEACHING WINTER 2015

STAT - 467/567 APPLIED PROBABILITY  I - Text: Introduction to  Probability Models - 11th edition,  by Sheldon Ross

STAT - 244 NB 1   INTRO PROB & STAT II